code: def setUp(self) -> None:
      os.environ["MASTER_ADDR"] = str("localhost")
      os.environ["MASTER_PORT"] = str(get_free_port())
      os.environ["GLOO_DEVICE_TRANSPORT"] = "TCP"
      os.environ["NCCL_SOCKET_IFNAME"] = "lo"
  
      torch.use_deterministic_algorithms(True)
      if torch.cuda.is_available():
          torch.backends.cudnn.allow_tf32 = False
          torch.backends.cuda.matmul.allow_tf32 = False
          os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8"
  
file_path: torchrec/torchrec/distributed/test_utils/multi_process.py
imports: import multiprocessing
  import os
  import unittest
  from typing import Any, Callable, Dict, List, Optional
  import torch
  import torch.distributed
  from torchrec.distributed.comm import _CROSS_PG, _INTRA_PG
  from torchrec.test_utils import get_free_port, init_distributed_single_host, seed_and_log
label_desc: Use image node_id 1 for calling the MultiProcessTestBase obj's underlying member method code with example usage: obj.setUp() without return types